Sea Atmosphere Interaction And Climate Laboratory

M. Krinitskiy, V. Stepanenko and R. Chernyshev Artificial Neural Networks for the Identification of Partial Differential Equations of LandSurface Schemes in Climate Models Proceedings of Science, Vol. 410, PoS(DLCP2021)005, 2021, The 5th International Workshop on Deep Learning in Computational Physics (DLCP2021), Moscow, 28-29 June 2021, DOI: 10.22323/1.410.0005

Mikhail Krinitskiy, Kirill Grashchenkov, Natalia Tilinina, Sergey Gulev Tracking of atmospheric phenomena with artificial neural networks: A supervised approach Procedia Computer Science, Vol. 186, 2021, p.p. 403-410, doi:10.1016/j.procs.2021.04.209

Travis A. O’Brien, Ashley E. Payne, Christine A. Shields, Jonathan Rutz, Swen Brands, Christopher Castellano, Jiayi Chen, William Cleveland, Michael J. DeFlorio, Naomi Goldenson, Irina Gorodetskaya, H ́ector Inda D ́ıaz, Karthik Kashinath, Brian Kawzenuk, Sol Kim, Mikhail Krinitskiy, Juan M. Lora, Beth McClenny, Allison Michaelis, John O’Brien, Christina M. Patricola, Alexandre M. Ramos, Eric J. Shearer, Wen-Wen Tung, Paul Ullrich, Michael F. Wehner, Kevin Yang, Rudong Zhang, Zhenhai Zhang, Yang Zhou Detection Uncertainty Matters for Understanding Atmospheric Rivers BAMS, DOI: 10.1175/BAMS-D-19-0348.1

Mikhail Krinitskiy, Yulia Zyulyaeva, Sergey Gulev Clustering of Polar Vortex States Using Convolutional Autoencoders Proceedings of the Information Technologies and High-Performance Computing

Krinitskiy, M., P. Verezemskaya, K. Grashchenkov, N. Tilinina, S. Gulev, M. Lazzara Deep Convolutional Neural Networks Capabilities for Binary Classification of Polar Mesocyclones in Satellite Mosaics Atmosphere 2018, 9(11), 426; https://doi.org/10.3390/atmos9110426

M. A. Krinitskiy Application of Machine Learning Methods to the Solar Disk State Detection by All-Sky Images over the Ocean ISSN 0001-4370, Oceanology, 2017, Vol. 57, No. 2, pp. 265–269

М. А. Криницкий МЕТОДЫ МАШИННОГО ОБУЧЕНИЯ В ЗАДАЧЕ ОПРЕДЕЛЕНИЯ СОСТОЯНИЯ ДИСКА СОЛНЦА ПО ШИРОКОУГОЛЬНЫМ СНИМКАМ ВИДИМОЙ ПОЛУСФЕРЫ НЕБА НАД ОКЕАНОМ ОКЕАНОЛОГИЯ, 2017, том 57, № 2, с. 297–302, DOI: 10.7868/S0030157417020125

Mikhail Krinitskiy Cloud cover estimation optical package: New facility, algorithms and techniques AIP Conference Proceedings Vol. 1810, 080009 (2017); doi: http://dx.doi.org/10.1063/1.4975540

A. V. Gavrikov, M. A. Krinitsky, and V. G. Grigorieva Modification of GlobWave Satellite Altimetry Database for Sea Wave Field Diagnostics ISSN 0001-4370, Oceanology, 2016, Vol. 56, No. 2, pp. 301–306. © Pleiades Publishing, Inc.

M. A. Krinitskiy, A. V. Sinitsyn Adaptive algorithm for cloud cover estimation from all-sky images over the sea Oceanology, 2016, Vol. 56, No. 3, pp. 315-319, DOI 10.1134/S0001437016020132

А. В. Гавриков, М. А. Криницкий, В. Г. Григорьева МОДИФИКАЦИЯ БАЗЫ ДАННЫХ СПУТНИКОВОЙ АЛЬТИМЕТРИИ GLOBWAVE ДЛЯ РЕШЕНИЯ ЗАДАЧ ДИАГНОСТИКИ ПОЛЯ МОРСКОГО ВОЛНЕНИЯ ОКЕАНОЛОГИЯ, 2016, том 56, № 2, с. 322–327